Python has efficient high-level data structures and effective object-oriented programming. Thanks to elegant syntax, dynamic typing and interpreted nature, it is an ideal language for scripting and rapid application development in many areas.
A few Python's libraries were used in these projects:
1. NumPy is the fundamental package for scientific computing. It provides a multidimensional array object, various derived objects, an assortment of routines for fast operations on arrays.
2. pandas is a open source data analysis and manipulation tool.
3. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
4. Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
This repository is made up of four projects.
All descriptions are related to these projects are included in each folder.